k-means聚类中的Jaccard

Question

在Cypher中，如何修改k-means来考虑Jaccard距离Dj而不是欧几里得距离？

在哪里的Jaccard距离被定义为了Dj = 1-（|A∩B|）/（|A∪B|）

Answer 1

下面是如何计算与CYPHER（从Recommendations Neoj Sandbox）的Jaccard距离的例子：

MATCH (m:Movie {title: "Inception"})-[:IN_GENRE]->(g:Genre)<-[:IN_GENRE]-(other:Movie) 
WITH m, other, COUNT(g) AS intersection, COLLECT(g.name) AS i 
MATCH (m)-[:IN_GENRE]->(mg:Genre) 
WITH m,other, intersection,i, COLLECT(mg.name) AS s1 
MATCH (other)-[:IN_GENRE]->(og:Genre) 
WITH m,other,intersection,i, s1, COLLECT(og.name) AS s2 
WITH m,other,intersection,s1,s2 
WITH m,other,intersection,s1+filter(x IN s2 WHERE NOT x IN s1) AS union, s1, s2 
RETURN m.title, other.title, s1,s2,((1.0*intersection)/SIZE(union)) AS jaccard ORDER BY jaccard DESC LIMIT 100 

一旦你计算出你可以使用它与你的k-means算法。你如何运行k-means？还在Cypher中？